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If you run into any of these issues, it is best to consult with your IT department for support.
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## WORKSHOP MATERIALS
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[Live questions and code sharing](https://docs.google.com/document/d/1xd3icf1wxGxO3SVt2AmKO8CkeKv1QpsxgqK7rR15U08/edit?usp=sharing)
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🔎 [Live questions and code sharing](https://docs.google.com/document/d/1xd3icf1wxGxO3SVt2AmKO8CkeKv1QpsxgqK7rR15U08/edit?usp=sharing)
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<br>
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[Lecture slides](https://nicholasjclark.github.io/ESA_2024_timeseries/ESA_slidedeck.html#1)
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Use this link to access a live Google Doc where we can host questions, relevant `R` code snippets and links of interest during the workshop. Please be aware that anything you post here will be accessible by all workshop participants, so be kind and inclusive 😄
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<br>
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[Live code example 1](https://github.com/nicholasjclark/ESA_2024_timeseries/blob/main/live_code_examples/casestudy1_kestrel.R)
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<br>
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[Live code example 1](https://github.com/nicholasjclark/ESA_2024_timeseries/blob/main/live_code_examples/casestudy2_aphids.R)
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💹 [Lecture slides](https://nicholasjclark.github.io/ESA_2024_timeseries/ESA_slidedeck.html#1)
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<br>
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We will begin the workshop by working through a bit of introductory material, which you can follow along with by working through the html slidedeck
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<br>
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💻 [Live code example 1](https://github.com/nicholasjclark/ESA_2024_timeseries/blob/main/live_code_examples/casestudy1_kestrel.R)
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<br>
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The first example will use a collection of time series of annual, observer-adjusted American kestrel counts
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<br>
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💻 [Live code example 1](https://github.com/nicholasjclark/ESA_2024_timeseries/blob/main/live_code_examples/casestudy2_aphids.R)
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<br>
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The second example (time permitting) will analyse a set of temporal experimental data monitoring aphid abundance in crop plots
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## OTHER `mvgam` RESOURCES
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